摘要
为了有利于解决现有评价方法计算复杂,过多地将专家意见等主观因素引入到评价体系中,建立了计算机专业本科生程序设计能力、实践与创新能力的3级评价指标。由于模糊神经网络汇集了神经网络与模糊理论的优点,集学习、联想、识别、信息处理于一体,能够更加真实地反映人脑对于外界信息的处理;采用模糊神经网络设计实现了程序设计能力、实践与创新能力评价方法。实验结果表明,该方法可以较为合理、全面、客观地评价计算机专业学生的编程、实践与创新能力,有利于发现教学、实践环节中的不足之处,进一步培养经济社会发展急需的信息产业人才。
In order to solve the problem of complex computation,and much introduction of the subjective factors such as expert opinions in the existing evaluation methods,this paper establishes tertiary evaluation indexes of programming,practice and innovation abilities for computer major students. Because the fuzzy neural network brings together the advantages of neural network and fuzzy theory,sets learning,association,recognition,information processing in one,it can more truly reflect the human information processing of the external world. The paper designs and implements evaluation method based on fuzzy neural network. Experimental results show the method can more reasonably,comprehensively and objectively evaluate programming,practice and innovation abilities for computer major students,find the deficiencies of teaching and practice,further train information industry professionals for economic and social development.
出处
《实验室研究与探索》
CAS
北大核心
2017年第2期18-22,共5页
Research and Exploration In Laboratory
基金
国家自然科学基金项目(61371143)
北方工业大学2015年教育教学改革和课程建设资助课题"培养大学生程序设计能力
实践与创新能力的研究与探索(XN093-001)"项目
关键词
编程能力
实践能力
模糊神经网络
评价方法
programming ability
practice ability
fuzzy neural network
evaluation method
